laughingrice
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dl_us_sos_inversion

medical imaging

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laughingrice commited on Oct 21, 2023

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@@ -18,7 +18,7 @@ This repository contains the code and models for the following papers:
 1. Feigin M, Freedman D, Anthony B. W. A Deep Learning Framework for Single-Sided Sound Speed Inversion in Medical Ultrasound. IEEE Trans Biomed Eng. 2020;67(4):1142-1151. doi:10.1109/TBME.2019.2931195
 2. Feigin M, Zwecker M, Freedman D, Anthony BW. Detecting muscle activation using ultrasound speed of sound inversion with deep learning. In: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE; 2020:2092-2095. doi:10.1109/EMBC44109.2020.9175237
-3. Feigin M, Freedman D, Anthony BW. Computing Speed-of-Sound from ultrasound: user-agnostic recovery and a new benchmark. IEEE Trans Biomed Eng. 2023; doi:TBF
 This repository contain the network code and models for the algorithms and results contained in the paper.

 1. Feigin M, Freedman D, Anthony B. W. A Deep Learning Framework for Single-Sided Sound Speed Inversion in Medical Ultrasound. IEEE Trans Biomed Eng. 2020;67(4):1142-1151. doi:10.1109/TBME.2019.2931195
 2. Feigin M, Zwecker M, Freedman D, Anthony BW. Detecting muscle activation using ultrasound speed of sound inversion with deep learning. In: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE; 2020:2092-2095. doi:10.1109/EMBC44109.2020.9175237
+3. Feigin M, Freedman D, Anthony BW. Computing Speed-of-Sound from ultrasound: user-agnostic recovery and a new benchmark. IEEE Trans Biomed Eng. 2023; doi:10.1109/TBME.2023.3327147
 This repository contain the network code and models for the algorithms and results contained in the paper.